10/29/2023 0 Comments Json query in sql server![]() ![]() ![]() ![]() Now you can combine classic relational columns with columns that contain documents formatted as JSON text in the same table, parse and import JSON documents in relational structures, or format relational data to JSON text. It is because JSONQUERY () can extract whole JSON field if required. JSON functions, first introduced in SQL Server 2016, enable you to combine NoSQL and relational concepts in the same database. If you see the syntax, JSONQUERY ( expression, path ) & JSONVALUE ( expression, path ), both are more or less except the square brackets for path and it means optional. JSON is a beautiful option for bridging NoSQL and relational worlds. nvarchar(max) '$.values' AS JSONĬROSS APPLY OPENJSON(j1. JSONQUERY () - Extracts an object or an array from a JSON string. Format query results as JSON, or export data from SQL Server as JSON, by adding the FOR JSON clause to a SELECT statement. or add all columnsĬROSS APPLY OPENJSON(t.JsonColumn, '$.values') WITH ( Note, that you need to use AS JSON in a "values" column definition to specify that the referenced property contains an inner JSON array and the type of that column must be nvarchar(max). If you cant change the input format to use an array, and you know that the objects are delimited by newlines, you can use STRINGSPLIT to get each into its own row: SELECT JSONVALUE (value. The statement depends on the structure of the parsed JSON, in your case you need to use two nested OPENJSON() calls and additinal APPLY operators. ![]()
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